Use of phytoplankton functional groups as a model of spatial and temporal patterns in reservoirs: a case study in a reservoir of central Brazil
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2018
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Resumo
We analyzed the temporal (dry and rainy
periods) and spatial (zones) phytoplankton biomass
variation (FGs—functional groups) in a tropical reservoir, and determined the main drivers. We hypothesized
that water flow negatively affects the FG–environment
relationship because high flow promotes dispersal
stochasticity. Our results indicated that the FG–environment relationship was affected mainly by the rainfall
regime. Periods with intermediate precipitation showed
greater predictability than periods with extreme precipitation. This suggests that the effect of stochastic
processes on the phytoplankton community is more important in both the highest and lowest water flow, and
deterministic processes are more important at intermediate flow. The longitudinal gradient of nutrients, light,
and water-column mixing influenced the distribution of
the FG biomass. The riverine zone showed high nutrient
concentrations, low light availability, and a high
biomass of organisms related to highly enriched systems
(FG J—chlorophyceans) and shade-adapted taxa (FG
S1—cyanobacteria). The lacustrine zone showed high
light availability and a high biomass of heterocytous
cyanobacteria (FGs SN and H1) and meroplanktonic
diatoms (FG MP). The functional approach can be
applied to understand the processes responsible for
species coexistence and for the organization of aquatic
ecosystems.
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Planktonic algae, Indicators, STATICO, Impoundment
Citação
RODRIGUES, Luzia Cleide et al. Use of phytoplankton functional groups as a model of spatial and temporal patterns in reservoirs: a case study in a reservoir of central Brazil. Hydrobiologia, Berlim, v. 805, p. 147-161, 2018. DOI: 10.1007/s10750-017-3289-x. Disponível em: https://link.springer.com/article/10.1007/s10750-017-3289-x. Acesso em: 12 jun. 2023.